Shared decision-making at end-of-life is aided by graphical trending of illness severity.

The Rothman Index (RI) gives a visual picture of patient's condition and progress for the physician and family to view together. This case demonstrates how the RI graph facilitates physician-family communication. An 85-year-old man with normal pressure hydrocephalus and ventriculoperitoneal shunt presented with a subdural haematoma. He required a temporoparietal craniotomy and evacuation of left subdural haematoma, followed by care in an intensive inpatient rehabilitation unit. His course was complicated by aspiration pneumonia, dehydration, renal failure and phenytoin toxicity. During hospitalisation, the patient's RI graph was reviewed daily with his family. The RI provided an unambiguous visualisation of the trend of patient acuity, which depicted the patient's persistent decline in health, and made clear to the family the situation of the patient. This clarity was instrumental in prompting frank discussions of prognosis and consideration of comfort measures, resulting in timely transfer to hospice.

Risks of mortality associated with common laboratory tests: a novel, simple and meaningful way to set decision limits from data available in the Electronic Medical Record.

BACKGROUND: Laboratory tests provide objective measurements of physiologic functions, but are usually evaluated by demographic reference-intervals (RI), instead of risk-based decision-limits (DL). We show that hospital electronic medical record (EMR) data can be utilized to associate all-cause mortality risks with analyte test values, thereby providing more information than RIs and defining new DLs. METHODS: Our cohort was 39,964 patients admitted for any reason and discharged alive, during two 1-year periods, at Sarasota Memorial Hospital, Florida, USA. We studied five routinely-performed in-hospital laboratory tests: serum creatinine, blood urea nitrogen, serum sodium, serum potassium, and serum chloride. By associating a mortality odds ratio with small intervals of values for each analyte, we calculated relative risk of all-cause mortality as a function of test values. RESULTS: We found mortality risks below the population average within these proposed DLs: potassium 3.4-4.3 mmol/L; sodium 136-142 mmol/L; chloride 100-108 mmol/L; creatinine 0.6-1.1 mg/dL; blood urea nitrogen (BUN) 5-20 mg/dL. The DLs correspond roughly to the usually-quoted RIs, with a notable narrowing for electrolytes. Potassium and sodium have reduced upper limits, avoiding a "high-normal" area where the odds ratio rises 2 to 3 times the population average. CONCLUSIONS: Any clinical laboratory test can be transformed into a mortality odds ratio function, associating mortality risk with each value of the analyte. This provides a DL determined by mortality risk, instead of RI assumptions about distribution in a "healthy" population. The odds ratio function also provides important risk information for analyte values outside the interval.

Placing clinical variables on a common linear scale of empirically based risk as a step towards construction of a general patient acuity score from the electronic health record: a modelling study.

OBJECTIVE: To explore the hypothesis that placing clinical variables of differing metrics on a common linear scale of all-cause postdischarge mortality provides risk functions that are directly correlated with in-hospital mortality risk. DESIGN: Modelling study. SETTING: An 805-bed community hospital in the southeastern USA. PARTICIPANTS: 42302 inpatients admitted for any reason, excluding obstetrics, paediatric and psychiatric patients. OUTCOME MEASURES: All-cause in-hospital and postdischarge mortalities, and associated correlations. RESULTS: Pearson correlation coefficients comparing in-hospital risks with postdischarge risks for creatinine, heart rate and a set of 12 nursing assessments are 0.920, 0.922 and 0.892, respectively. Correlation between postdischarge risk heart rate and the Modified Early Warning System (MEWS) component for heart rate is 0.855. The minimal excess risk values for creatinine and heart rate roughly correspond to the normal reference ranges. We also provide the risks for values outside that range, independent of expert opinion or a regression model. By summing risk functions, a first-approximation patient risk score is created, which correctly ranks 6 discharge categories by average mortality with p<0.001 for differences in category means, and Tukey's Honestly Significant Difference Test confirmed that the means were all different at the 95% confidence level. CONCLUSIONS: Quantitative or categorical clinical variables can be transformed into risk functions that correlate well with in-hospital risk. This methodology provides an empirical way to assess inpatient risk from data available in the Electronic Health Record. With just the variables in this paper, we achieve a risk score that correlates with discharge disposition. This is the first step towards creation of a universal measure of patient condition that reflects a generally applicable set of health-related risks. More importantly, we believe that our approach opens the door to a way of exploring and resolving many issues in patient assessment.

Clinical implications and validity of nursing assessments: a longitudinal measure of patient condition from analysis of the Electronic Medical Record.

OBJECTIVES: This study investigates risk of mortality associated with nurses' assessments of patients by physiological system. We hypothesise that nursing assessments of in-patients performed at entry correlate with in-hospital mortality, and those performed just before discharge correlate with postdischarge mortality. DESIGN: Cohort study of in-hospital and postdischarge mortality of patients over two 1-year periods. SETTING: An 805-bed community hospital in Sarasota, Florida, USA. SUBJECTS: 42 302 inpatients admitted for any reason, excluding obstetrics, paediatric and psychiatric patients. OUTCOME MEASURES: All-cause mortalities and mortality OR. RESULTS: Patients whose entry nursing assessments, other than pain, did not meet minimum standards had significantly higher in-hospital mortality than patients meeting minimums; and final nursing assessments before discharge had large OR for postdischarge mortality. In-hospital mortality OR were found to be: food, 7.0; neurological, 9.4; musculoskeletal, 6.9; safety, 5.6; psychosocial, 6.7; respiratory, 8.1; skin, 5.2; genitourinary, 3.0; gastrointestinal, 2.3; peripheral-vascular, 3.9; cardiac, 2.8; and pain, 1.1. CI at 95% are within ±20% of these values, with p<0.001 (except for pain). Similar results applied to postdischarge mortality. All results were comparable across the two 1-year periods, with 0.85 intraclass correlation coefficient. CONCLUSIONS: Nursing assessments are strongly correlated with in-hospital and postdischarge mortality. No multivariate analysis has yet been performed, and will be the subject of a future study, thus there may be confounding factors. Nonetheless, we conclude that these assessments are clinically meaningful and valid. Nursing assessment data, which are currently unused, may allow physicians to improve patient care. The mortality OR and the dynamic nature of nursing assessments suggest that nursing assessments are sensitive indicators of a patient's condition. While these conclusions must remain qualified, pending future multivariate analyses, nursing assessment data ought to be incorporated in risk-related health research, and changes in record-keeping software are needed to make this information more accessible.

Manipulation under anesthesia: a report of four cases.

OBJECTIVE: To report the results of manipulation under anesthesia (MUA) for 4 patients with chronic spinal, sacroiliac, and/or pelvic and low back pain. METHODS: The treatment group was arbitrarily selected from the chiropractor's patient base who received the MUA protocol along with a follow-up in-office articular and myofascial release program that mimics the MUA procedures. The chiropractic adjustments and articular and myofascial release procedures were performed in a chiropractic office. The MUA procedures were performed in an outpatient ambulatory surgical center. Patients with chronic pain who had not adequately responded to conservative medical and/or a reasonable trial (4 months minimum) of chiropractic adjustments, and had no contraindications to anesthesia or adjustments, were selected. The 4 patients went through 3 consecutive days of MUA followed by an 8-week protocol of the same procedures plus physiotherapy in-office without anesthesia. Data included pre- and post-MUA passive ranges of motion, changes in the visual analog scale, and neurologic and orthopedic examination findings. The patients had follow-up varying from 9 to 18 months. RESULTS: Increases in passive ranges of motion, decreases in the visual analog scale rating, and diminishment of subsequent visit frequency were seen in each of the patients. CONCLUSION: Manipulation under anesthesia was an effective approach to restoring articular and myofascial movements for these 4 patients who did not adequately respond to either medical and/or in-office conservative chiropractic adjustments and adjunctive techniques.

A reassessment of normal cervical range of motion.

STUDY DESIGN: Intraexaminer and interexaminer/procedure reliability and error analysis using a repeated-measures design. OBJECTIVE: To quantify sources of discrepancies in cervical range of motion values between two procedures that use the same potentiometric technology. SUMMARY OF BACKGROUND DATA: Studies using an early version of an electrogoniometer system, which was connected between a helmet worn by the study participant and a chair on which they sat, reported unusually high values for active and passive cervical range of motion, although measurements were reliable. To understand the sources of the discrepancies between that study and later studies (using upgraded software), the current study was designed to quantify possible sources of error contributed by various components of the procedures: helmet, thoracic reference, chair, and software. METHODS: A total of 22 asymptomatic study participants were evaluated in two separate sessions, 1-3 days apart. Components of two procedures were changed systematically in a series of repeated measurements to provide concurrent reliability and to assess sources of error between the two procedures. RESULTS: The reliabilities of both procedures were generally high with no systematic trends, except for lower values for flexion-extension studies with Procedure 2. Procedure 2 also provided systematically greater range of motion values (2-8 degrees ) than Procedure 1, except for flexion (half-cycle). The source of the greatest discrepancy between the two procedures was the software, when comparing the original with the updated versions. With regard to the instrumentation, the greatest source of variability was in the thoracic reference post; next was the helmet, and least significant was the type of seat used. A comparison of overall procedure discrepancies and summation of individual elements of the procedures accounted for virtually all of the observed error. CONCLUSION: The potentiometer-based electrogoniometer is a reliable instrument for determining cervical range of motion. Measurements appear to be more valid when the thoracic reference point is physically attached to the study participant's body. The original software provided with the system appears to have contributed to systematic overestimation of ranges of motion, but current units provide measurements that are both reliable and valid.